Multiple outbreaks in epidemic spreading with local vaccination and limited vaccines

• Autores: Di Muro, Matias Alberto; Alvarez Zuzek, Lucila Gisele; Havlin, S.; Braunstein, Lidia Adriana
• Año de publicación: 2018
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: COMPLEX NETWORKS; EPIDEMIC MODELING; PERCOLATION; SIR MODEL
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

How to prevent the spread of human diseases is a great challenge for the scientific community and so far there are many studies in which immunization strategies have been developed. However, these kind of strategies usually do not consider that medical institutes may have limited vaccine resources available. In this manuscript, we explore the susceptible-infected-recovered model with local dynamic vaccination, and considering limited vaccines. In this model, susceptibles in contact with an infected individual, are vaccinated-with probability ω-and then get infected-with probability β. However, when the fraction of immunized individuals reaches a threshold V L, the vaccination stops, after which only the infection is possible. In the steady state, besides the critical points β c and ω c that separate a non-epidemic from an epidemic phase, we find for a range of V L another transition points, β∗ > β c and ω∗ < ω c, which correspond to a novel discontinuous phase transition. This critical value separates a phase where the amount of vaccines is sufficient, from a phase where the disease is strong enough to exhaust all the vaccination units. For a disease with fixed β, the vaccination probability ω can be controlled in order to drastically reduce the number of infected individuals, using efficiently the available vaccines. Furthermore, the temporal evolution of the system close to β∗ or ω∗, shows that after a peak of infection the system enters into a quasi-stationary state, with only a few infected cases. But if there are no more vaccines, these few infected individuals could originate a second outbreak, represented by a second peak of infection. This state of apparent calm, could be dangerous since it may lead to misleading conclusions and to an abandon of the strategies to control the disease.
Fil: Di Muro, Matias Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Alvarez Zuzek, Lucila Gisele. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Físicas de Mar del Plata. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Físicas de Mar del Plata; Argentina
Fil: Havlin, S.. Bar-ilan University; Israel
Fil: Braunstein, Lidia Adriana. Boston University; Estados Unidos